A comprehensive survey on computer vision based approaches for automatic identification of products in retail store

作者：

Highlights：

• Product detection boosts value-added consumer experience & commercial benefits to retailers.

• We present a survey on computer vision methods for detection of retail products.

• We analyze the features used in detecting retail products.

• We propose a taxonomy of state-of-the-art methods in detecting retail products.

• We present challenges and new-frontiers in detecting products.

摘要

•Product detection boosts value-added consumer experience & commercial benefits to retailers.•We present a survey on computer vision methods for detection of retail products.•We analyze the features used in detecting retail products.•We propose a taxonomy of state-of-the-art methods in detecting retail products.•We present challenges and new-frontiers in detecting products.

论文关键词：Survey,Product detection,Product recognition,Planogram compliance,Multiple object detection,Out-of-stock detection

论文评审过程：Received 21 May 2018, Revised 4 March 2019, Accepted 5 March 2019, Available online 16 March 2019, Version of Record 14 May 2019.

论文官网地址：https://doi.org/10.1016/j.imavis.2019.03.005